Senior Cloud Data Architect – AI & Analytics Platform

Delta Dental Ins.

Rancho Cordova (CA)

On-site

USD 93,000 - 200,000

Full time

11 hours ago
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Benefits offered by this job

Competitive base pay
401(k) with matching
Medical & pharmacy benefits
Dental and vision benefits
Paid time off & holidays
Career development & tuition support

Job summary

Delta Dental Ins. is seeking a Senior Data Architect to design and implement scalable cloud-native data solutions. This role collaborates with IT leadership and business partners to translate requirements into secure, high-performing architectures.

You will define target-state architectures, govern data ingestion and sharing, and enable AI/ML capabilities while ensuring governance, security, and regulatory compliance across platforms.

Qualifications

  • 4+ years of experience in modern cloud data architecture.
  • Bachelor’s degree in Computer Science or a related field.
  • Experience delivering enterprise data solutions (data warehouses/lakes/lakehouse).
  • Experience with cloud platforms (Azure or multi-cloud) and data governance.

Responsibilities

  • Lead the design and architecture of end-to-end data solutions.
  • Define target-state data architectures and blueprints for data flows and storage.
  • Establish architecture patterns for ingestion, transformation, and data sharing.
  • Architect scalable data pipelines with focus on performance, cost, and reliability.
  • Enable AI/ML capabilities through scalable data architectures.

Skills

Cloud data architecture
Stakeholder management
Communication
Leadership
AI/ML data platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
Matillion
Microsoft Fabric
Power BI
Tableau

Job description

Delta Dental Ins. is seeking a Senior Data Architect to design and implement scalable cloud-native data solutions. This role collaborates with IT leadership and business partners to translate requirements into secure, high-performing architectures.

You will define target-state architectures, govern data ingestion and sharing, and enable AI/ML capabilities while ensuring governance, security, and regulatory compliance across platforms.

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